MétaCan
Menu
Back to cohort
Record W2539691164 · doi:10.1109/nssmic.2011.6154765

Characterization of charge collection in various semiconductor sensors with energetic protons and Timepix device

2011· article· en· W2539691164 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPhysics and Astronomy
TopicParticle Detector Development and Performance
Canadian institutionsUniversité de Montréal
FundersTechnology Agency of the Czech Republic
KeywordsCharge sharingElectric fieldCharge (physics)ProtonSemiconductorChipTrack (disk drive)OptoelectronicsPhysicsMaterials scienceAtomic physicsElectrical engineeringNuclear physicsOpticsComputer sciencePixelEngineeringParticle physics

Abstract

fetched live from OpenAlex

In this work we use the Timepix chip as a multichannel tester for evaluation of properties of different semiconductor sensors. Different sensors bump-bonded to a Timepix readout chip and exposed to energetic protons with different incident angles and energies have been investigated. Data from each recorded proton track were processed individually. The extent of the charge sharing effect was evaluated along the proton track at different sensor depths. The level of charge sharing is affected by the time of charge collection which is related to the local intensity of the electric field in the sensor. This method can provide a 3D map of the electric field in the whole sensor volume.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.358
Threshold uncertainty score0.579

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.015
GPT teacher head0.204
Teacher spread0.189 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it